On the Privacy Risks of Deploying Recurrent Neural Networks in Machine Learning Models

6 October 2021

Ufuk Topcu

Papers citing "On the Privacy Risks of Deploying Recurrent Neural Networks in Machine Learning Models"

36 / 36 papers shown

Title
A Differentially Private Framework for Deep Learning with Convexified Loss Functions Zhigang Lu Hassan Jameel Asghar M. Kâafar Darren Webb Peter Dickinson 90 15 0 03 Apr 2022
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters Paul Gavrikov J. Keuper AAML 71 31 0 29 Mar 2022
Membership Inference Attacks on Machine Learning: A Survey Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 109 431 0 14 Mar 2021
Quantifying Membership Inference Vulnerability via Generalization Gap and Other Model Metrics Jason Bentley Daniel Gibney Gary Hoppenworth Sumit Kumar Jha MIACV 41 16 0 11 Sep 2020
A Survey of Privacy Attacks in Machine Learning M. Rigaki Sebastian Garcia PILM AAML 69 220 0 15 Jul 2020
Privacy in Deep Learning: A Survey Fatemehsadat Mirshghallah Mohammadkazem Taram Praneeth Vepakomma Abhishek Singh Ramesh Raskar H. Esmaeilzadeh FedML 64 137 0 25 Apr 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 389 42,299 0 03 Dec 2019
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference Alexandre Sablayrolles Matthijs Douze Yann Ollivier Cordelia Schmid Hervé Jégou MIACV 62 364 0 29 Aug 2019
Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy Boyi Liu Qi Cai Zhuoran Yang Zhaoran Wang 61 111 0 25 Jun 2019
Semantic Segmentation of Video Sequences with Convolutional LSTMs Andreas Pfeuffer Karina Schulz Klaus C. J. Dietmayer SSeg 58 46 0 03 May 2019
Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System? Sorami Hisamoto Matt Post Kevin Duh MIACV SLR 45 106 0 11 Apr 2019
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 133 2,418 0 13 Dec 2018
Protection Against Reconstruction and Its Applications in Private Federated Learning Abhishek Bhowmick John C. Duchi Julien Freudiger Gaurav Kapoor Ryan M. Rogers FedML 78 360 0 03 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.6K 94,511 0 11 Oct 2018
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models A. Salem Yang Zhang Mathias Humbert Pascal Berrang Mario Fritz Michael Backes MIACV MIALM 83 945 0 04 Jun 2018
Understanding Membership Inferences on Well-Generalized Learning Models Yunhui Long Vincent Bindschaedler Lei Wang Diyue Bu Xiaofeng Wang Haixu Tang Carl A. Gunter Kai Chen MIALM MIACV 47 224 0 13 Feb 2018
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds Fangyu Liu Shuaipeng Li Liqiang Zhang Chenghu Zhou Rongtian Ye Yuebin Wang Jiwen Lu 3DPC 53 107 0 21 Jul 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 444 18,931 0 20 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 644 130,942 0 12 Jun 2017
Pain-Free Random Differential Privacy with Sensitivity Sampling Benjamin I. P. Rubinstein Francesco Aldà 21 42 0 08 Jun 2017
Convolutional Sequence to Sequence Learning Jonas Gehring Michael Auli David Grangier Denis Yarats Yann N. Dauphin AIMat 148 3,283 0 08 May 2017
Language Modeling with Gated Convolutional Networks Yann N. Dauphin Angela Fan Michael Auli David Grangier 212 2,391 0 23 Dec 2016
Prediction with a Short Memory Vatsal Sharan Sham Kakade Percy Liang Gregory Valiant AI4TS 43 27 0 08 Dec 2016
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 230 4,103 0 18 Oct 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhiwen Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 880 6,781 0 26 Sep 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 191 6,109 0 01 Jul 2016
Multi30K: Multilingual English-German Image Descriptions Desmond Elliott Stella Frank K. Simaán Lucia Specia VLM 128 587 0 02 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.1K 193,426 0 10 Dec 2015
Recurrent Reinforcement Learning: A Hybrid Approach Xiujun Li Lihong Li Jianfeng Gao Xiaodong He Jianshu Chen Li Deng Ji He OffRL 40 77 0 10 Sep 2015
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 364 7,955 0 17 Aug 2015
ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks Francesco Visin Kyle Kastner Kyunghyun Cho Matteo Matteucci Aaron Courville Yoshua Bengio SSeg 62 271 0 03 May 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 274 6,755 0 19 Feb 2015
Constructing Long Short-Term Memory based Deep Recurrent Neural Networks for Large Vocabulary Speech Recognition Xiangang Li Xihong Wu 65 309 0 16 Oct 2014
Spatially-sparse convolutional neural networks Benjamin Graham 83 231 0 22 Sep 2014
Random Differential Privacy Rob Hall Alessandro Rinaldo Larry A. Wasserman 93 91 0 12 Dec 2011
Differentially Private Empirical Risk Minimization Kamalika Chaudhuri C. Monteleoni Anand D. Sarwate 121 1,487 0 01 Dec 2009